Alternatives to TopBraid

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Alteryx AI Platform will help you enter a new age of analytics. Empower your organization through automated data preparation, AI powered analytics, and accessible machine learning - all with embedded governance. Welcome to a future of data-driven decision making for every user, team and step. Empower your team with an intuitive, easy-to-use user experience that allows everyone to create analytical solutions that improve productivity and efficiency. Create an analytics culture using an end-toend cloud analytics platform. Data can be transformed into insights through self-service data preparation, machine learning and AI generated insights. Security standards and certifications are the best way to reduce risk and ensure that your data is protected. Open API standards allow you to connect with your data and applications.

The digital economy requires organizations to be responsive and have a master data management platform that is highly scalable and supports hyper-personalization and real-time operations. Reltio Connected Data Platform, the only cloud-native platform for data management, supports billions of customer profiles. These profiles are enriched with thousands upon thousands of attributes, relationships, transactions and interactions from hundreds if not more data sources. Reltio powers mission-critical enterprise-class applications that can operate 24/7 with thousands of external and internal users. Reltio Connected Data Platform scales seamlessly and delivers elastic performance. It also supports the throughput enterprises require for any operational or analytical use. Innovative polyglot data storage technology allows for unprecedented flexibility in adding or removing data sources and attributes without any downtime. Reltio is built on master data management (MDM), and enhanced with graph technology.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

To simplify enterprise data management, improve data accuracy, reduce costs, and create a cohesive master data management strategy across all your domains, you need to establish a common and coordinated master data management strategy. With minimal barriers to entry, you can kick-start your corporate master information management initiative in the cloud. You also have the option to add master data governance scenarios at will. By combining SAP and third-party data sources, you can create a single source for truth and mass process additional bulk updates on large amounts of data. To confirm master data readiness and to analyze master data management performance, define, validate, monitor, and monitor established business rules. Facilitate collaborative workflow routing and notification so that different teams can have their own master data attributes and validated values for specific data points.

We have made significant progress serving the AI value-chain through projects that span different data types, industries and geographical locations. Our diverse experience allows us to address unique challenges, and optimize solutions in different sectors. Custom data sources with high precision for your model needs, from around the globe, that are in strict compliance with GDPR and ISO standards. Data annotation and labeling is performed with 95% accuracy for all data types. This ensures flawless model performance. In the early stages, determine your model's performance to receive an expert opinion that is unbiased on critical performance measures like bias, duplication and ground truth response. Validate the output of your model by leveraging the validation team's expertise to optimize and improve accuracy.

eccenca Corporate Memory is a multi-disciplinary integrative platform that allows you to manage rules, constraints and capabilities in one application. Its semantic knowledge graph overcomes the limitations of traditional, application-centric (meta), data management models. It is highly extensible, integrative, and interpretable by both machines and business users. The enterprise knowledge graph platform restores global data transparency for enterprises and line-of-business ownership in complex and dynamic data environments. It allows you to drive agility and autonomy without disrupting existing IT infrastructures. Corporate Memory links data from all sources into a single knowledge graph. To explore your global data landscape, you can use user-friendly SPARQL or JSON-LD frames. HTTP identifiers, metadata and data management are the key components of the enterprise knowledge graph platform.

Ataccama is a revolutionary way to manage data and create enterprise value. Ataccama unifies Data Governance, Data Quality and Master Data Management into one AI-powered fabric that can be used in hybrid and cloud environments. This gives your business and data teams unprecedented speed and security while ensuring trust, security and governance of your data.

Experian Data Quality is a leader in data quality and data management solutions. Our comprehensive solutions can validate, standardize and enrich customer data. We also profile and monitor it to ensure that it is suitable for purpose. Our software can be customized to any environment and any vision with flexible SaaS or on-premise deployment models. Real-time address verification solutions allow you to keep your address data current and preserve the integrity of your contact information. Comprehensive data quality management solutions allow you to analyze, transform, and manage your data. You can even create data processing rules specific to your business. Experian Data Quality's phone validation tools can help you improve your mobile/SMS marketing efforts.

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

The market-leading, scalable, and high-performance enterprise data management platform allows you to embrace agility. All aspects of data integration are supported, from the initial project jumpstart to the successful deployment of mission-critical enterprise applications. PowerCenter, a metadata-driven data management platform, accelerates and jumpstarts data integration projects to deliver data to businesses faster than manual hand coding. Developers and analysts work together to quickly prototype, iterate and validate projects, then deploy them in days instead of months. Your data integration investments can be built on PowerCenter. Machine learning can be used to efficiently monitor and manage PowerCenter deployments across locations and domains.

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear and before anyone else is impacted. -Depth of Checks: Provides both foundational observability (automated checks for data freshness, volume, schema changes) and deep data quality monitoring (automated checks for data consistency and correctness). -Automation: Use unsupervised machine learning to automatically identify missing and anomalous data. -Easy for everyone, no-code UI: A user can generate a no-code check that calculates a metric, plots it over time, generates a time series model, sends intuitive alerts to tools like Slack, and returns a root cause analysis. -Intelligent Alerting: Incredibly powerful unsupervised machine learning intelligently readjusts time series models and uses automatic secondary checks to weed out false positives. -Time to Resolution: Automatically generates a root cause analysis that saves users time determining why an anomaly is occurring. Our triage feature orchestrates a resolution workflow and can integrate with many remediation steps, like ticketing systems. -In-VPC Development: Data never leaves the customer’s environment. Anomalo can be run entirely in-VPC for the utmost in privacy & security

Our multidomain, market-leading solution supports any master domain, implementation style, or use case. It can be used in the cloud or on premises. Integrates best-in class data integration, data quality management and data privacy. Trusted views of master data that are critical to business operations allow you to tackle complex issues head-on. Automatedly link master, transaction, or interaction data relationships across master domains. Contact data verification, B2B enrichment and B2C enrichment services increase data accuracy. With one click, update multiple master data records, dynamic models, and collaborative workflows. AI-powered match tuning, rule recommendations and optimization can reduce maintenance costs and speed up deployment. Use pre-configured, highly granular charts or dashboards to increase productivity. With trusted, relevant data, you can create high-quality data that will help you improve your business results.

The Orion Data Validation Tool, an integration validation tool, allows business data to be validated across integration channels in order to ensure data compliance. It helps to achieve data quality by using a variety of platforms and sources. The tool's machine learning and integration validation capabilities make it an effective data validation solution for advanced analytics projects. The tool offers templates to streamline the integration process and speed up data validation. You can also select templates from the library and custom files from any source. The Orion Data Validation Tool will automatically reconfigure itself when you provide a sample. Then, it compares the data from the channel to the data quality requirements. The built-in data reader displays the data validity scores.

Blindata is a comprehensive Data Governance program that includes all functions. Data Catalog, Data Lineage & Business Glossary provide a complete and integrated view of your Data. Data Classification gives data a semantic meaning, while Data Quality Modules, Issue Management and Data Stewardship modules increase the reliability and trust of data. Privacy compliance can also be facilitated by specific features. Registry of processing activities, central management of privacy notes, consent registry with Blockchain integration. Blindata Agent is able to connect to multiple data sources and collect metadata, such as data structures (Tables Views Fields ...), data Quality metrics, reverse lineage etc.). Blindata's modular architecture is entirely API-based, allowing for systematic integration with business systems of the highest importance (DBMS, Active Directory e-commerce and Data Platforms). Blindata can be purchased as a SaaS or installed "on Premise", or it can be purchased from AWS Marketplace.

DataOps ETL Validator, the most comprehensive ETL testing and data validation tool, is the most comprehensive ETL testing automation software. Comprehensive ETL/ELT Validation Tool to automate testing of data migration projects and data warehouses with an easy-to-use component-based user interface and low-code, zero-code test creation. ETL involves extracting data, transforming it according to operational needs, and then loading it into the target database or data store. ETL testing involves verifying accuracy, integrity and completeness of the data as it moves along the ETL process in order to ensure that it meets business requirements and rules. Automation of ETL testing is possible with tools that automate data validation, comparison, and transformation tests. This will speed up the testing cycle, reduce manual labor, and significantly accelerate the testing cycle. ETL Validator automates ETL tests by providing intuitive interfaces to create test cases without extensive programming.

Pandera is a flexible, simple and extensible framework for data testing that allows you to validate not only the data, but also the functions which produce it. You can overcome the initial challenge of defining a data schema by inferring it from clean data and then fine-tuning it over time. Identify critical points in your pipeline and validate the data that enters and leaves them. Validate functions that generate your data by automatically creating test cases. You can choose from a wide range of pre-built tests or create your own rules to validate your data.

Waaila, a comprehensive application that monitors data quality, is supported by hundreds of analysts around the world. It helps to avoid disasters caused by poor data quality. Validate your data to take control of your analytics. They must be precise to maximize their potential, therefore validation and monitoring are essential. It is crucial that the data be accurate and reliable in order to serve its true purpose and allow for business growth. Marketing strategies that are more effective will be more efficient if they are of higher quality. You can rely on the accuracy and quality of your data to make data-driven decisions that will lead to the best results. Automated validation saves time and energy and delivers better results. Rapid attack discovery helps to prevent huge impacts and opens up new opportunities. The application management and navigation are simple, which allows for quick data validation and efficient processes that enable the issue to be quickly identified and solved.

Data characteristics such as meaning, usage, lineage and alignment to business outcomes, ownership, that have been lost repeatedly after each project, can now be captured and retained for the first time. These essential characteristics can now be reused downstream in order to advance strategic business initiatives that depend on trusted data. Reuse data to deliver your outcomes faster. Capture and unleash the potential of your data. Unlock the potential in your data within the context of your business. Many of your projects require the same understanding and insights into your data. It's likely that you are constantly reinventing this information. Syniti can provide this knowledge at a fraction the cost and with greater accuracy. Don't lose your knowledge. Reuse the knowledge and insights that are hidden in your data. Keep your knowledge safe for future reference.

DataGalaxy’s all-in one data catalog provides out-of-the box actionability, with fully-customizable features, visualization tools, AI integration, to give business teams a way to document, link and track their metadata assets. The Data Catalog 360deg platform's user-centric approach is dedicated to metadata management, knowledge sharing, and mapping. This helps your organization manage data in the way that you want. A data catalog allows employees from different teams to collaborate by using homogeneous, centralized data sets. Our data catalog provides clarity for data definitions, synonyms and essential business attributes. It also includes a semantic layer to help all users understand and leverage data. If you are looking for answers on a specific metadata, the data catalog will identify 360deg data experts and owners. This will empower your team by facilitating collaboration.

What is Melissa Digital Identity verification for KYC or AML? Melissa Digital Identity Verification (also known as AML and KYC) is a cloud-based tool that speeds customer onboarding and meets stringent international compliance requirements. You can use a single Web service for identity verification (including national ID), to scan and validate ID documents, and to use biometric authentication and leverage: liveness check; age verification; and sanction lists to identify blocked persons and nationals. Product Description Melissa Digital Identity Verification speeds customer onboarding and meets stringent international compliance requirements. You can use a single API to verify identity (including national ID and Social Security Number), scan and validate documentation, use biometric authentication, and leverage optional age verification and liveness check.

Datagaps DataOps Suite, a comprehensive platform, automates and streamlines data validation processes throughout the entire data lifecycle. It offers end to end testing solutions for ETL projects (Extract Transform Load), data management, data integration and business intelligence (BI). The key features include automated data cleansing and validation, workflow automation and real-time monitoring, as well as advanced BI analytics. The suite supports multiple data sources including relational databases and NoSQL databases as well as cloud platforms and file-based systems. This ensures seamless integration and scalability. Datagaps DataOps Suite, which uses AI-powered data quality assessment and customizable test scenarios, improves data accuracy, consistency and reliability.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

WhiteSpace offers business integration solutions for our customers based upon our Skimmer Technology. Skimmer Technology uses the Microsoft Office suite's desktop automation resources in combination with data mining and extract technology to refine data from diverse data sources. The refined data is then processed, and presented as data analysis products in MS Excel or MS Word, as well as web pages. Business Integration Solutions are well-suited for many corporate problems. Skimmer Technology provides a framework and tools for integration-based projects. The risk is greatly reduced and the return on investment is much faster. Any integration project should start with validation of data and the report process. Skimmers validate existing reports, whereas most manual reports are never validated. Skimmers strengthen processes and eliminate manually introduced variances.

iCEDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iCEDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iCEDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iCEDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

Think your contact records are accurate? Think again. According to SiriusDecisions, 25% of all contact records contain critical errors. Ensure your data is pristine with Lead Validation – US , a powerful real-time API. It consolidates expertise in verifying business names, emails, addresses, phones, and devices, offering corrections and enhancements to contact records. Plus, it assigns a comprehensive lead quality score from 0 to 100. Integrating seamlessly with CRM and Marketing platforms Lead Validation - US provides actionable insights directly within your workflow. It cross-validates five crucial lead quality components—name, street address, phone number, email address, and IP address—utilizing over 130 data points. This thorough validation helps companies ensure accurate customer data at the point of entry and beyond.

RightData is an intuitive, flexible and scalable data validation, reconciliation and testing suite that allows stakeholders to identify issues related to data consistency and quality. It allows users to analyse, design, build and execute reconciliation and validation scenarios without programming. It helps to identify data issues in production, thereby preventing compliance, credibility damage and minimizing the financial risk for your organization. RightData's purpose is to improve the data quality, consistency, reliability, and completeness of your organization. It allows you to speed up the delivery process and reduce costs by enabling Continuous Integration/Continuous Deployment (CI/CD). It automates the internal audit process and improves coverage, thereby increasing your organization's confidence in its audit readiness.

The BiG EVAL platform provides powerful software tools to ensure and improve data quality throughout the entire lifecycle of information. BiG EVAL's data quality and testing software tools are built on the BiG EVAL platform, a comprehensive code base that aims to provide high performance and high flexibility data validation. All features were developed through practical experience gained from working with customers. It is crucial to ensure high data quality throughout the data lifecycle. This is essential for data governance. BiG EVAL DQM, an automation solution, supports you in all aspects of data quality management. Continuous quality checks validate enterprise data, provide a quality indicator, and support you in solving quality problems. BiG EVAL DTA allows you to automate testing tasks within your data-oriented project.

Oracle Cloud Infrastructure (OCI Data Catalog) is a metadata management tool that aids data professionals in discovering data and supporting data governance. It was designed to integrate with the Oracle ecosystem. It provides an inventory of assets and a business glossary. OCI Data Catalog is fully managed and maintained by Oracle. It runs on all the power and scale that Oracle Cloud Infrastructure offers. OCI Data Catalog offers all the security, reliability and performance of Oracle Cloud. Developers can integrate OCI Data Catalog's capabilities into their own applications by using REST APIs or SDKs. Administrators can manage access to OCI Data Catalog objects and security requirements by using a trusted system to manage user identities and access privileges. To get real value out of data, discover data assets in Oracle data stores both on-premises or in the cloud.

AB Handshake is a revolutionary solution for telecom service providers. It eliminates fraud on outbound and inbound voice traffic. Our advanced system of interaction between operators validates each call. This ensures 100% accuracy and zero false positives. The Call Registry receives the call details every time a call has been set up. Before the actual call, the validation request is sent to the terminating network. Cross-validation allows for detection of manipulation by comparing call details from different networks. Call registries require no additional investment and run on common-use hardware. The solution is installed within an operator's security perimeter. It complies with security requirements and personal data processing requirements. This is when someone gains access the PBX phone system of a business and makes international calls at the company's expense.

Our state-of the-art data migration tool is specifically designed to convert and migrate data from legacy applications to advanced systems and frameworks. It also includes advanced data validation mechanisms and real-time reporting.

High-volume, disconnected data can be quickly transformed into actionable business insights using scalable enterprise data quality. Trillium Quality, a flexible, powerful data quality tool, supports your rapidly changing business requirements, data sources, and enterprise infrastructures, including big data and cloud. Its data cleansing features and standardization capabilities automatically understand global data such as customer, product, and financial data in any context. Pre-formatting and preprocessing are unnecessary. Trillium Quality services can be deployed on-premises or remotely in real time, in batch or in the cloud. They use the same rules and standards across a wide range of applications and systems. Open APIs allow you to seamlessly connect to third-party and custom applications while centrally managing and controlling data quality services.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Syniti's data match solutions will help you build a more connected company, drive growth, or leverage new technologies at scale. No matter what data source or shape, our matching software matches, unifies, unifies and harmonizes data using proprietary algorithms. Syniti's matching software is innovative in data quality and empowers data-driven businesses. You will be able to accelerate data harmonization by 90%, and save 75% on de-duplication during your journey to SAP S/4HANA. With performance-ready processing and ready-to-go solutions that don’t require clean data, you can perform deduplication, matching, or lookup on billions upon billions of records in just 5 minutes. AI, proprietary algorithms, steep customization, and high-quality matches maximize matches across complex datasets, and minimize false positives.

Data Ladder is a data cleansing and quality company that helps you "get the best out of your data." We offer data matching, profiling and deduplication as well as enrichment. Our product offerings are simple and easy to understand. This allows us to provide excellent customer service and a great solution for our customers. Our products are used by Fortune 500 companies. We are proud of our reputation for listening to our customers, and constantly improving our products. Our powerful, user-friendly software allows business users from all industries to manage their data more efficiently and improve their bottom line. DataMatch Enterprise, our data quality software suite, found approximately 12%-300% more matches than the leading software companies IBM or SAS in 15 different studies. We have over 10 years of experience in R&D and counting. We are constantly improving our data-quality software solutions. This dedication has resulted in more than 4000 installations around the world.

A platform that provides a single view of all your data across your enterprise. Rapid. It is precise. It is cost-effective. Synchronos is an enterprise-level masterdata management (MDM), software platform that can be used for operational and/or analysis purposes. It allows organizations to avoid traditional approaches that require large investments of time, money, and pose high risks when implementing and maintaining MDM. Synchronos is a superior alternative to other methods that offer a 1/3 time and 1/3 cost savings.

Great Expectations is a standard for data quality that is shared and openly accessible. It assists data teams in eliminating pipeline debt through data testing, documentation and profiling. We recommend that you deploy within a virtual environment. You may want to read the Supporting section if you are not familiar with pip and virtual environments, notebooks or git. Many companies have high expectations and are doing amazing things these days. Take a look at some case studies of companies we have worked with to see how they use great expectations in their data stack. Great expectations cloud is a fully managed SaaS service. We are looking for private alpha members to join our great expectations cloud, a fully managed SaaS service. Alpha members have first access to new features, and can contribute to the roadmap.

Master Data Management and Data Governance. Plug and Play adapters for Oracle Hyperion, Onestream, Anaplan, and More. The Leader in Performance Management Master data On-Premise or in the Cloud. Designed to include Business Users in MDM/Data Governance. With built-in application Intelligence, managing hierarchies in EPMware and data governance becomes a seamless process. This creates dimensional consistency across all subscribing apps. Our one-click integration allows hierarchies to be visualized and modeled in a request. This allows for real-time data governance, which ensures that metadata updates are audited and error-proof. EPMware's workflow capabilities allow metadata to be reviewed, approved, and then deployed to both on-premise and in the cloud. There are no files to load or extract, and no manual intervention. Just a seamless, audited metadata integration right out of the box. Integration and Validation Focus EPMware provides native and pre-built integration support to the most popular EPM and CPM technologies.

Kylo is an enterprise-ready open-source data lake management platform platform for self-service data ingestion and data preparation. It integrates metadata management, governance, security, and best practices based on Think Big's 150+ big-data implementation projects. Self-service data ingest that includes data validation, data cleansing, and automatic profiling. Visual sql and an interactive transformation through a simple user interface allow you to manage data. Search and explore data and metadata. View lineage and profile statistics. Monitor the health of feeds, services, and data lakes. Track SLAs and troubleshoot performance. To enable user self-service, create batch or streaming pipeline templates in Apache NiFi. While organizations can spend a lot of engineering effort to move data into Hadoop, they often struggle with data governance and data quality. Kylo simplifies data ingest and shifts it to data owners via a simple, guided UI.

Our cloud-based Data Catalog provides a new-generation workspace for data teams to discover, understand, and collaborate on data assets and their usages. Create a reliable and understandable enterprise-level data asset landscape to empower your data teams. It is easy to set up. It is easy to use. Perfect for scaling. You can easily organize and share data knowledge and usages among your team members and beyond. Connect Zeenea with your sources to get all the data insights you need in real-time. Your data teams will be more productive if they are able to simplify and reduce the time spent searching for enterprise resources. In just a few clicks, you can create a library of all your enterprise-level data assets and usages. Improve any data discovery path. So that your data teams can concentrate on what's most important: delivering their data projects on schedule.

IBM InfoSphere®, Information Governance Catalog is a web-based application that allows you to search, understand, and analyze information. You can create, manage, share, and even enact policies and guidelines, as well as track data lineage. Combine with IBM Watson®, Knowledge Catalog to make use of existing curated data sets, and extend your investment in the Information Governance Catalog on-premises to the cloud. A knowledge catalog lets you put your collected metadata in the hands of knowledge workers, so that data science and analytics communities have easy access to the best assets for their purposes while still adhering with enterprise governance requirements. It provides a common language and vocabulary that allows for a deeper understanding of all data assets, whether they are structured, semi-structured, or unstructured. Documents governance policies and enacts rules that help you determine how information should be stored, transformed, and moved.

End-to-end DataOps built upon an agile platform that protects and improves your data assets. Arena is the leading augmented data management platform. Our active data catalog allows for self-service data enrichment to control complex data environments. You can create custom workflows to increase the reliability and accuracy of each data set. Machine-learning can be used to identify and align master assets for better data decisions. Superior security is assured with complete lineage, including detailed visualizations and masking. Data management is easy with Arena. Arena can catalog your data from any location. Our extensible connections allow for analytics across all your preferred tools. Overcome data sprawl challenges with our software. Our software is designed to drive business and analytics success, while also providing the controls and extensibility required in today's multicloud data complexity.

This is the essential tool for metadata management. In just 5 minutes, automatically populate your entire catalogue! Data Discovery. Data Discovery. Find the data you need from any part of your data ecosystem, starting with the database and ending with the specific values for each field. Automated documentation of your data from existing data storage. First-class support for unstructured and tabular data. Automated data governance actions. Data Lineage. Data Lineage. Explore your data lineage to understand where your data is coming from and where it is headed. View the impact analysis of changes. See all up- and downstream impacts. Visualize connections and relationships. API AccessNew. Tree Schema API allows you to manage your data lineage in code and keep your catalog current. Integrate Data Lineage in CICD pipelines Capture values & description within your code Analyze the impact of breaking changes. Data Dictionary. Know the key terms and lingo which drive your business. Define the context and scope of keywords

Open source data governance suite to manage data lakes and databases. Tokern is an easy-to-use toolkit for collecting, organizing and analysing metadata from data lakes. Runs as a command-line application for quick tasks. Run as a service to continuously collect metadata. Use reporting dashboards to analyze lineage, access control, and PII data. Or programmatically in Jupyter notebooks. Tokern is an open-source data governance suite for data lakes and databases. You can improve the ROI of your data, comply to regulations like HIPAA, CCPA, and GDPR, and protect your data from insider threats with confidence. Centralized metadata management for users, jobs, and datasets. Other data governance features are powered by this feature. Track column-level data lineage for Snowflake and AWS Redshift. You can build lineage using query history or ETL scripts. Interactive graphs and programming with APIs and SDKs allow you to explore lineage.

A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.

ER/Studio Enterprise Team Edition allows data modelers and architects the ability to share data models and metadata throughout an enterprise. It offers a complete solution to enterprise architecture and data governance.

Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. You can easily create a comprehensive, up-to date map of your data landscape using automated data discovery, sensitive classification, and end to end data lineage. Data consumers can find trustworthy, valuable data. Automated data discovery, lineage identification and data classification across on and off-premises, multicloud, as well as SaaS sources. For more effective governance, a unified map of all your data assets and their relationships. Semantic search allows data discovery using technical or business terms. Get insight into the movement and location of sensitive data in your hybrid data landscape. Purview Data Map will help you establish the foundation for data usage and governance. Automate and manage metadata from mixed sources. Use built-in and customized classifiers to classify data and Microsoft Information Protection sensitive labels to protect it.

Data comes from all directions, increasing in complexity and scale. Data can contain knowledge and insight that are full of potential. This potential can only be fully realized when it is integrated into every decision and action taken by the organization, second by second. Data changes with the business, which leads to new insights and knowledge. It is a cycle. Learn and adapt. Industries such as entertainment, financial services, healthcare, telecommunications and manufacturing have all recognized the potential. It is both challenging as well as exciting to get there. It takes new levels of speed, agility, and speed to understand, manage, and process vast amounts of constantly changing data. Complex organizations need a high-performance data platform that can automate and provide self-service. It can also thrive in change and adapt to new realities.

An end-to-end system govern-by-value Data Excellence Management System(c), (DEMS), is a web-based multilingual solution (on-premises or cloud) that uses context intelligence based on semantics and artificial intelligence techniques to allow organisations to automate data governance and business excellence. It also helps to reduce operational costs by reducing operational costs. DEMS facilitates a factual, value-driven collaboration that engages all levels of end-users in the ultimate value creation. It helps organisations manage their data policies and comply with evolving regulations such as FINMA or GDPR. DEMS is a measure of the maturity of your organization's functions and resources. It establishes accountability throughout the organisational structure. It also links data assets to value flows to predicatively guide business strategies.